Research Computational and Data Scientist II

Work Location

Orange, California

Work Shift

Day – 08hrs (United States of America)

Why CHOC?

At CHOC, we strive to be the leading destination of children’s health by providing exceptional and innovative care. We are responsible for the overall health of our community’s pediatric population in our hospitals, clinics, and practices. And because of our breadth of care, your career at CHOC can be as diverse and fulfilling as you determine. CHOC’s compensation structure, benefits offerings, and career development programs are geared to helping you achieve your professional and personal goals. Apply now to see where your career at CHOC can take you.

Environmental Sustainability Statement

Driven by the connection between children's health and a healthy environment, we commit to creating a healthcare model that incorporates environmental sustainability aligned with our mission to protect children's health and patient safety.

Job Summary

The Research Computational Scientists (RCS) II will collaborate with providers, researchers, and other associates to provide computational services required for research and implementation of research findings. This requires a multidisciplinary training in the computational and data sciences including statistics, computer science, and artificial intelligence. The role will support the development and innovative application of advanced simulation, data analyses, visual analytics, or other computational techniques to research problems across the CHOC Health System. Daily tasks include working closely with providers, researchers, and other associates to develop or deploy computational solutions required for improving knowledge, the health of patients, and the financial health of the organization. These computational solutions will include development of new statistical, machine-learning, and artificial intelligence algorithms, improvement of existing algorithms, and analyses of data from the electronic medical records of patients. Data sources will span not just the electronic medical records but other sources of data relevant to research and organizational growth. The goal is the development of deeper understanding, insight, and prediction of events that may foster the health of children and the health of the care system as well.

Pay Range

Minimum $99,819 Midpoint $132,288 Maximum $164,736

Rate of pay is determined by various factors, including but not limited to knowledge, skills, competencies, experience, education, as well as position requirements.

Experience

Required: Minimum two years of related work experience.. Experience should include the application of advanced statistical algorithms and computational and data science methods in the analyses of medical data including generalized linear models across a wide range of statistical distributions, time series analyses, and longitudinal data analyses. Experience with SQL programming and data preprocessing for research studies are also required. Previous participation in research during academic training, internships, or prior job experience that resulted in one or more peer-reviewed publications is required.

Preferred: Prior peer-reviewed publications in PubMed-indexed journals include first or last authorship. Familiarity with Machine-learning, Artificial Intelligence, Casual Inference or Bayesian Statistics is also required through prior coursework, publications, or informal studies of these methods. Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C++, Python, and TensorFlow, Keras or PyTorch for time series and other sequence data prediction.

Education

Required: Master of Science in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics. A doctoral degree will count towards the two years of work experience required.

Preferred: Doctoral degree in the computational and data sciences including artificial intelligence, statistics, biostatistics, bioinformatics, and statistical genetics.

Training

Required: Previous (paid or unpaid) work within a research group in college or other institutions.

Specialized Skills

Required: Expected to be comfortable with the wide range of statistical learning algorithms and development of simulations for empirical statistical analyses using a statistical programming language or C/C++. At least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C++, and SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive.

Work Environments - Functional Demand:

Sedentary - Very light energy level Lift 10 lbs. box overhead. Lift and carry 15 lbs. Push/pull 20 lbs. cart.

Physical Activity Requirements:

Bending, Carry Objects, Climbing, Keyboard use/repetitive motion, Pinching/fine motor activities, Push/Pull, Reaching forward, Reaching overhead, Sitting, Squat/kneel/crawl (Squad & Knee), Standing, Talk or hear, Taste or smell, Twisting, Walking, Wrist position deviation

Physical Activity Lifting

Lifting (Floor to waist level) - Occasional 0-35%, Lifting (Waist level and above) - Occasional 0-35%

Sensory Requirements:

Color Discrimination, Depth Perception, Far Vision, Hearing, Near Vision

Environment Requirements:

Airborn Communicable Disease, Bloodborne Pathogens, Chemical, Dust Particular Matter, Extreme Noise Levels, Extreme Temperatures, Radiation, Uneven Surfaces or Elevations

Non-Discrimination Statement:

CHOC does not discriminate on the basis of age, race, color, religion, national origin, ancestry, marital status, genetic information, disability, sex, gender (including pregnancy, breastfeeding, childbirth, lactation or related medical conditions), gender identity or expression, medical condition, sexual orientation, veteran status, military or uniformed service member status, or other protected characteristics in accordance with state and federal laws.

We encourage individuals from all backgrounds to apply for positions at CHOC, even if your experience doesn’t align perfectly with the listed qualifications for a particular role, as your unique experience may be a great addition to our culture for another one of our opportunities.

If you desire support or accommodations throughout the Talent Acquisition process, please inform your Talent Acquisition Partner.